Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 6,701 to 6,710 of 205,891 articles

Artificial Intelligence in Medicine: Basic Knowledge, Applications, Ethics and Perspectives.

Journal of evaluation in clinical practice
BACKGROUND: Artificial intelligence (AI) is rapidly transforming medicine through advanced diagnostic, prognostic, and decision-support systems. OBJECTIVE: To summarize the fundamental concepts, clinical applications, ethical issues, and future persp... read more 

Impact of Previous Abdominal Surgery on the Outcomes of Robotic Resection for Colorectal Cancer: An Analysis of Conversions, Short-Term Outcomes and Quality of Oncologic Resections.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study investigated the impact of previous abdominal surgery (PAS) on short-term outcomes in robotic resection for colorectal cancer. METHODS: 517 patients with colon or rectal cancer undergoing robotic resection between 2014 and 2024... read more 

Use of biomolecular emulator for characterizing flexible proteins by small-angle x-ray scattering.

Protein science : a publication of the Protein Society
Flexible proteins populate heterogeneous conformational ensembles that are essential for their function. Small-angle x-ray scattering (SAXS) is widely used to study protein structure in solution and to characterize conformational heterogeneity. Yet, ... read more 

Artificial intelligence-assisted visualization of the dissection plane during robotic right colectomy using a duodenum-first approach: A video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
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HKD-CPI: high-order knowledge distillation enhanced inductive compound-protein interaction prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Accurately identifying compound-protein interactions (CPIs) is critical for accelerating drug discovery. Recent deep learning methods have achieved impressive results, yet they primarily focus on local structures and neighborhood informat... read more 

Interpretable Deep Regression Models With Interval-Censored Failure Time Data.

Statistics in medicine
Deep neural networks (DNNs) have become powerful tools for modeling complex data structures through sequentially integrating simple functions in each hidden layer. In survival analysis, recent advances of DNNs primarily focus on enhancing model capab... read more 

Clinically oriented deep learning system integrating linear and morphological assessment for external orthodontic root resorption.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: Manual linear assessment, a classic method for evaluating orthodontic external root resorption (OERR), has limitations: unreliable dento-osseous junction identification and operator variability, time-consuming measurements, and inabilit... read more 

Evaluation of Clinically-Focused Artificial Intelligence Chatbots for Answering Drug Information Questions.

Journal of the American College of Clinical Pharmacy : JACCP
BACKGROUND: Artificial intelligence (AI) tools are increasingly promoted for clinical decision support in health care. While studies have assessed general-purpose AI chatbots on the accuracy and quality of clinical or drug-related questions, direct c... read more 

Artificial Intelligence for Invasion-Depth Prediction in Colorectal Cancer: From Technical Promise to Clinically Credible Support.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
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Artificial Intelligence-Based Objective Evaluation of Nerve-Sparing Status Combined With Preserved Urethral Length Predicts Urinary Continence Recovery After Robot-Assisted Radical Prostatectomy.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To evaluate nerve-sparing status objectively using an artificial intelligence method applied to intraoperative images and to determine whether combining this assessment with preserved urethral length improves prediction of urinary contine... read more